Assessment of the genotoxic potential of soil-associated DDTs and its metabolites using the Salmonella/microsome assay
Bibliographic record
Abstract
The study aimed to assess the genotoxicity of different DDT contaminated soils (with different amendment types) in benzene extracts. A Salmonella/microsome assay without metabolic activation (-S9) was performed to evaluate the efficiency to initiate the mutations of remediated and non-remediated soils. The number of revertants mutations in his+ in TA100 and TA98 strains were obtained, and compared to soils without DDT, and remediated DDT containing soils. The interpretation of the data suggests that, mutagenic activity was high for the non-remediated soils samples Kyzylkairat and Beskainar, and revealed in the scale as a weak mutagen. Soil samples treated with DARCO, ORBO, Sarg<150μm, and Sarg>150μm in Kyzylkairat and Beskainar exhibited a decreasing level of mutagenic activity, which is in line with the decreased environmental availability in these soil. Overall, the study indicates that strains TA100 and TA98 are valuable tools for rapidly assessing the potential mutagenicity of soil contaminated with OCPs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".